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	# You can find this code for Chainlit python streaming here (https://docs.chainlit.io/concepts/streaming/python)

	# OpenAI Chat completion

	import openai # importing openai for API usage
	import chainlit as cl # importing chainlit for our app
	from chainlit.input_widget import (
	Select,
	Switch,
	Slider,
	) # importing chainlit settings selection tools
	from chainlit.prompt import Prompt, PromptMessage # importing prompt tools
	from chainlit.playground.providers import ChatOpenAI # importing ChatOpenAI tools

	# You only need the api key inserted here if it's not in your .env file
	# openai.api_key = "YOUR_API_KEY"

	# ChatOpenAI Templates
	system_template = """You are a helpful assistant who always speaks in a pleasant tone!
	"""

	user_template = """{input}
	Think through your response step by step.
	"""


	@cl.on_chat_start # marks a function that will be executed at the start of a user session
	async def start_chat():
	settings = {
	"model": "gpt-3.5-turbo",
	"temperature": 0,
	"max_tokens": 500,
	"top_p": 1,
	"frequency_penalty": 0,
	"presence_penalty": 0,
	}

	cl.user_session.set("settings", settings)


	@cl.on_message # marks a function that should be run each time the chatbot receives a message from a user
	async def main(message):
	settings = cl.user_session.get("settings")

	prompt = Prompt(
	provider=ChatOpenAI.id,
	messages=[
	PromptMessage(
	role="system",
	template=system_template,
	formatted=system_template,
	),
	PromptMessage(
	role="user",
	template=user_template,
	formatted=user_template.format(input=message.content),
	),
	],
	inputs={"input": message.content},
	settings=settings,
	)

	print([m.to_openai() for m in prompt.messages])

	msg = cl.Message(content="")

	# Call OpenAI
	async for stream_resp in await openai.ChatCompletion.acreate(
	messages=[m.to_openai() for m in prompt.messages], stream=True, **settings
	):
	token = stream_resp.choices[0]["delta"].get("content", "")
	await msg.stream_token(token)

	# Update the prompt object with the completion
	prompt.completion = msg.content
	msg.prompt = prompt

	# Send and close the message stream
	await msg.send()